Essays about: "fast food"
Showing result 21 - 25 of 228 essays containing the words fast food.
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21. Continuous leaching of phosphorus from sewage sludge ash
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : The global demand for food is increasing. Different nutrients are used to increase growth in agriculture and are thus essential for the world ́s food supply. An important and common nutrient is phosphorus. It can be mined, in the form of phosphate, from phosphate rock. READ MORE
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22. Temperaturens inverkan på tillväxt av olika mikroorganismer på frysta livsmedel
University essay from SLU/Department of Molecular SciencesAbstract : Metoder för att bevara mat har varit en viktig aspekt för att säkra livsmedelsförsörjningen genom historien. Frysning och andra konserveringsmetoder har använts med framgång under årens lopp för att förlänga livsmedels hållbarhetstid, men det finns ibland mikroorganismer på livsmedel som kan växa till mängder som kan leda till sjukdom och utgöra problem för individers hälsa, eller så kan de förskämma livsmedel. READ MORE
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23. A Multi-Agent Pickup and Delivery System for Automated Stores with Batched Tasks
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : Throughout today’s society, increasingly more areas are being automated. Grocery stores however have been the same for years. Only recently, self-checkout counters and online shopping have been utilised in this business area. This thesis aims to take it to the next step by introducing automated grocery stores using a multi-agent system. READ MORE
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24. Impact of Leadership Styles on Employee Performance and Satisfaction in the Fast-food Industry in Sweden
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : .... READ MORE
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25. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity
University essay from Uppsala universitet/Signaler och systemAbstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE